• DocumentCode
    2835832
  • Title

    Synthesize control for an SIR model with nonlinear saturation infecctious force

  • Author

    Guang, Yang

  • Author_Institution
    Sch. of Math. & Syst. Sci., Shenyang Normal Univ., Shenyang, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    798
  • Lastpage
    801
  • Abstract
    This paper is concerned with the Synthesize control of SIR epidemics model with nonlinear saturation infectious force, which not only isolate infective, but also take immunization and improve the sense of self-protection. The threshold of the models system is analyzed. In order to calculate the optimal values of the isolate rates, immune rates and self- protection rates, it constructs a performance index that is calculated explicitly as an algebraic function of the controller parameters by solving Zubov´s partial differential equation, and standard optimization techniques are employed. The ultimate aim is to eliminate the disease. The simulation result shows the method is viable and effectively.
  • Keywords
    diseases; optimisation; partial differential equations; SIR epidemics model; Zubov partial differential equation; algebraic function; controller parameters; nonlinear saturation infecctious force; self-protection; standard optimization techniques; synthesize control; Control system synthesis; Diseases; Force control; Influenza; Mathematical model; Nonlinear control systems; Optimal control; Partial differential equations; Performance analysis; Protection; SIR epidemics mode; Synthesize control; nonlinear saturation infectious force; threshold;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498117
  • Filename
    5498117